Dorsal and median raphe neuronal firing dynamics characterized by nonlinear measures

Autores
Pascovich, Claudia; Serantes, Diego; Rodriguez, Alejo; Mateos, Diego Martín; González, Joaquín; Gallo, Diego; Rivas, Mayda; Devera, Andrea; Lagos, Patricia; Rubido, Nicolás; Torterolo, Pablo
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The dorsal (DRN) and median (MRN) raphe are important nuclei involved in similar functions, including mood and sleep, but playing distinct roles. These nuclei have a different composition of neuronal types and set of neuronal connections, which among other factors, determine their neuronal dynamics. Most works characterize the neuronal dynamics using classic measures, such as using the average spiking frequency (FR), the coefficient of variation (CV), and action potential duration (APD). In the current study, to refine the characterization of neuronal firing profiles, we examined the neurons within the raphe nuclei. Through the utilizationof nonlinear measures, our objective was to discern the redundancy and complementarity of these measures, particularly in comparison with classic methods. To do this, we analyzed the neuronal basal firing profile in both nuclei of urethane-anesthetized rats using the Shannon entropy (Bins Entropy) of the inter-spike intervals, permutation entropy of ordinal patterns (OP Entropy), and Permutation Lempel-Ziv Complexity (PLZC). Firstly, we found that classic (i.e., FR, CV, and APD) and nonlinear measures fail to distinguish between the dynamics of DRN and MRN neurons, except for the OP Entropy. We also found strong relationships between measures, including the CV with FR, CV with Bins entropy, and FR with PLZC, which imply redundant information. However, APD and OP Entropy have either a weak or no relationship with the rest of the measures tested, suggesting that they provide complementary information to the characterization of the neuronal firing profiles. Secondly, we studied how these measures are affected by the oscillatory properties of the firing patterns, including rhythmicity, bursting patterns, and clock-like behavior. We found that all measures are sensitive to rhythmicity, except for the OP Entropy. Overall, our work highlights OP Entropy as a powerful and useful quantity for the characterization of neuronal discharge patterns.
Fil: Pascovich, Claudia. Universidad de la República; Uruguay
Fil: Serantes, Diego. Universidad de la República; Uruguay
Fil: Rodriguez, Alejo. Universidad de la República; Uruguay
Fil: Mateos, Diego Martín. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Matemática Aplicada del Litoral. Universidad Nacional del Litoral. Instituto de Matemática Aplicada del Litoral; Argentina
Fil: González, Joaquín. Universidad de la República; Uruguay
Fil: Gallo, Diego. Universidad de la República; Uruguay
Fil: Rivas, Mayda. Universidad de la República; Uruguay
Fil: Devera, Andrea. Universidad de la República; Uruguay
Fil: Lagos, Patricia. Universidad de la República; Uruguay
Fil: Rubido, Nicolás. Kings College, University Of Aberdeen; Reino Unido
Fil: Torterolo, Pablo. Universidad de la República; Uruguay
Materia
RAPHE NUCLEI
NEURONAL FIRING
ENTROPY
COMPLEXITY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/258910
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Dorsal and median raphe neuronal firing dynamics characterized by nonlinear measuresPascovich, ClaudiaSerantes, DiegoRodriguez, AlejoMateos, Diego MartínGonzález, JoaquínGallo, DiegoRivas, MaydaDevera, AndreaLagos, PatriciaRubido, NicolásTorterolo, PabloRAPHE NUCLEINEURONAL FIRINGENTROPYCOMPLEXITYhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1The dorsal (DRN) and median (MRN) raphe are important nuclei involved in similar functions, including mood and sleep, but playing distinct roles. These nuclei have a different composition of neuronal types and set of neuronal connections, which among other factors, determine their neuronal dynamics. Most works characterize the neuronal dynamics using classic measures, such as using the average spiking frequency (FR), the coefficient of variation (CV), and action potential duration (APD). In the current study, to refine the characterization of neuronal firing profiles, we examined the neurons within the raphe nuclei. Through the utilizationof nonlinear measures, our objective was to discern the redundancy and complementarity of these measures, particularly in comparison with classic methods. To do this, we analyzed the neuronal basal firing profile in both nuclei of urethane-anesthetized rats using the Shannon entropy (Bins Entropy) of the inter-spike intervals, permutation entropy of ordinal patterns (OP Entropy), and Permutation Lempel-Ziv Complexity (PLZC). Firstly, we found that classic (i.e., FR, CV, and APD) and nonlinear measures fail to distinguish between the dynamics of DRN and MRN neurons, except for the OP Entropy. We also found strong relationships between measures, including the CV with FR, CV with Bins entropy, and FR with PLZC, which imply redundant information. However, APD and OP Entropy have either a weak or no relationship with the rest of the measures tested, suggesting that they provide complementary information to the characterization of the neuronal firing profiles. Secondly, we studied how these measures are affected by the oscillatory properties of the firing patterns, including rhythmicity, bursting patterns, and clock-like behavior. We found that all measures are sensitive to rhythmicity, except for the OP Entropy. Overall, our work highlights OP Entropy as a powerful and useful quantity for the characterization of neuronal discharge patterns.Fil: Pascovich, Claudia. Universidad de la República; UruguayFil: Serantes, Diego. Universidad de la República; UruguayFil: Rodriguez, Alejo. Universidad de la República; UruguayFil: Mateos, Diego Martín. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Matemática Aplicada del Litoral. Universidad Nacional del Litoral. Instituto de Matemática Aplicada del Litoral; ArgentinaFil: González, Joaquín. Universidad de la República; UruguayFil: Gallo, Diego. Universidad de la República; UruguayFil: Rivas, Mayda. Universidad de la República; UruguayFil: Devera, Andrea. Universidad de la República; UruguayFil: Lagos, Patricia. Universidad de la República; UruguayFil: Rubido, Nicolás. Kings College, University Of Aberdeen; Reino UnidoFil: Torterolo, Pablo. Universidad de la República; UruguayPublic Library of Science2024-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/258910Pascovich, Claudia; Serantes, Diego; Rodriguez, Alejo; Mateos, Diego Martín; González, Joaquín; et al.; Dorsal and median raphe neuronal firing dynamics characterized by nonlinear measures; Public Library of Science; PLOS Computational Biology; 20; 5; 5-2024; 1-221553-7358CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://dx.plos.org/10.1371/journal.pcbi.1012111info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pcbi.1012111info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:49:50Zoai:ri.conicet.gov.ar:11336/258910instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:49:50.612CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Dorsal and median raphe neuronal firing dynamics characterized by nonlinear measures
title Dorsal and median raphe neuronal firing dynamics characterized by nonlinear measures
spellingShingle Dorsal and median raphe neuronal firing dynamics characterized by nonlinear measures
Pascovich, Claudia
RAPHE NUCLEI
NEURONAL FIRING
ENTROPY
COMPLEXITY
title_short Dorsal and median raphe neuronal firing dynamics characterized by nonlinear measures
title_full Dorsal and median raphe neuronal firing dynamics characterized by nonlinear measures
title_fullStr Dorsal and median raphe neuronal firing dynamics characterized by nonlinear measures
title_full_unstemmed Dorsal and median raphe neuronal firing dynamics characterized by nonlinear measures
title_sort Dorsal and median raphe neuronal firing dynamics characterized by nonlinear measures
dc.creator.none.fl_str_mv Pascovich, Claudia
Serantes, Diego
Rodriguez, Alejo
Mateos, Diego Martín
González, Joaquín
Gallo, Diego
Rivas, Mayda
Devera, Andrea
Lagos, Patricia
Rubido, Nicolás
Torterolo, Pablo
author Pascovich, Claudia
author_facet Pascovich, Claudia
Serantes, Diego
Rodriguez, Alejo
Mateos, Diego Martín
González, Joaquín
Gallo, Diego
Rivas, Mayda
Devera, Andrea
Lagos, Patricia
Rubido, Nicolás
Torterolo, Pablo
author_role author
author2 Serantes, Diego
Rodriguez, Alejo
Mateos, Diego Martín
González, Joaquín
Gallo, Diego
Rivas, Mayda
Devera, Andrea
Lagos, Patricia
Rubido, Nicolás
Torterolo, Pablo
author2_role author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv RAPHE NUCLEI
NEURONAL FIRING
ENTROPY
COMPLEXITY
topic RAPHE NUCLEI
NEURONAL FIRING
ENTROPY
COMPLEXITY
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The dorsal (DRN) and median (MRN) raphe are important nuclei involved in similar functions, including mood and sleep, but playing distinct roles. These nuclei have a different composition of neuronal types and set of neuronal connections, which among other factors, determine their neuronal dynamics. Most works characterize the neuronal dynamics using classic measures, such as using the average spiking frequency (FR), the coefficient of variation (CV), and action potential duration (APD). In the current study, to refine the characterization of neuronal firing profiles, we examined the neurons within the raphe nuclei. Through the utilizationof nonlinear measures, our objective was to discern the redundancy and complementarity of these measures, particularly in comparison with classic methods. To do this, we analyzed the neuronal basal firing profile in both nuclei of urethane-anesthetized rats using the Shannon entropy (Bins Entropy) of the inter-spike intervals, permutation entropy of ordinal patterns (OP Entropy), and Permutation Lempel-Ziv Complexity (PLZC). Firstly, we found that classic (i.e., FR, CV, and APD) and nonlinear measures fail to distinguish between the dynamics of DRN and MRN neurons, except for the OP Entropy. We also found strong relationships between measures, including the CV with FR, CV with Bins entropy, and FR with PLZC, which imply redundant information. However, APD and OP Entropy have either a weak or no relationship with the rest of the measures tested, suggesting that they provide complementary information to the characterization of the neuronal firing profiles. Secondly, we studied how these measures are affected by the oscillatory properties of the firing patterns, including rhythmicity, bursting patterns, and clock-like behavior. We found that all measures are sensitive to rhythmicity, except for the OP Entropy. Overall, our work highlights OP Entropy as a powerful and useful quantity for the characterization of neuronal discharge patterns.
Fil: Pascovich, Claudia. Universidad de la República; Uruguay
Fil: Serantes, Diego. Universidad de la República; Uruguay
Fil: Rodriguez, Alejo. Universidad de la República; Uruguay
Fil: Mateos, Diego Martín. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Matemática Aplicada del Litoral. Universidad Nacional del Litoral. Instituto de Matemática Aplicada del Litoral; Argentina
Fil: González, Joaquín. Universidad de la República; Uruguay
Fil: Gallo, Diego. Universidad de la República; Uruguay
Fil: Rivas, Mayda. Universidad de la República; Uruguay
Fil: Devera, Andrea. Universidad de la República; Uruguay
Fil: Lagos, Patricia. Universidad de la República; Uruguay
Fil: Rubido, Nicolás. Kings College, University Of Aberdeen; Reino Unido
Fil: Torterolo, Pablo. Universidad de la República; Uruguay
description The dorsal (DRN) and median (MRN) raphe are important nuclei involved in similar functions, including mood and sleep, but playing distinct roles. These nuclei have a different composition of neuronal types and set of neuronal connections, which among other factors, determine their neuronal dynamics. Most works characterize the neuronal dynamics using classic measures, such as using the average spiking frequency (FR), the coefficient of variation (CV), and action potential duration (APD). In the current study, to refine the characterization of neuronal firing profiles, we examined the neurons within the raphe nuclei. Through the utilizationof nonlinear measures, our objective was to discern the redundancy and complementarity of these measures, particularly in comparison with classic methods. To do this, we analyzed the neuronal basal firing profile in both nuclei of urethane-anesthetized rats using the Shannon entropy (Bins Entropy) of the inter-spike intervals, permutation entropy of ordinal patterns (OP Entropy), and Permutation Lempel-Ziv Complexity (PLZC). Firstly, we found that classic (i.e., FR, CV, and APD) and nonlinear measures fail to distinguish between the dynamics of DRN and MRN neurons, except for the OP Entropy. We also found strong relationships between measures, including the CV with FR, CV with Bins entropy, and FR with PLZC, which imply redundant information. However, APD and OP Entropy have either a weak or no relationship with the rest of the measures tested, suggesting that they provide complementary information to the characterization of the neuronal firing profiles. Secondly, we studied how these measures are affected by the oscillatory properties of the firing patterns, including rhythmicity, bursting patterns, and clock-like behavior. We found that all measures are sensitive to rhythmicity, except for the OP Entropy. Overall, our work highlights OP Entropy as a powerful and useful quantity for the characterization of neuronal discharge patterns.
publishDate 2024
dc.date.none.fl_str_mv 2024-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/258910
Pascovich, Claudia; Serantes, Diego; Rodriguez, Alejo; Mateos, Diego Martín; González, Joaquín; et al.; Dorsal and median raphe neuronal firing dynamics characterized by nonlinear measures; Public Library of Science; PLOS Computational Biology; 20; 5; 5-2024; 1-22
1553-7358
CONICET Digital
CONICET
url http://hdl.handle.net/11336/258910
identifier_str_mv Pascovich, Claudia; Serantes, Diego; Rodriguez, Alejo; Mateos, Diego Martín; González, Joaquín; et al.; Dorsal and median raphe neuronal firing dynamics characterized by nonlinear measures; Public Library of Science; PLOS Computational Biology; 20; 5; 5-2024; 1-22
1553-7358
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://dx.plos.org/10.1371/journal.pcbi.1012111
info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pcbi.1012111
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Public Library of Science
publisher.none.fl_str_mv Public Library of Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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